code: def test_bpso_evaluate():
      def square(x):
          return np.sum(x**2)
  
      new_function = function.Function(pointer=square)
  
      boolean_space = boolean.BooleanSpace(n_agents=2, n_variables=5)
  
      new_bpso = bpso.BPSO()
      new_bpso.compile(boolean_space)
  
      new_bpso.evaluate(boolean_space, new_function)
  
      assert boolean_space.best_agent.fit < sys.float_info.max
  
file_path: opytimizer/tests/opytimizer/optimizers/boolean/test_bpso.py
imports: import sys
  import numpy
  import opytimizer.math.random
  from opytimizer.core import function
  from opytimizer.optimizers.boolean import bpso
  from opytimizer.spaces import boolean
label_desc: Use image node_id 4 for calling a global function with example usage: test_bpso_evaluate() and returns: np